Page 144 - CatalogNEP-PS

2. Implementation of styles and Table of contents
3. Uses of Mail Merge
4. Analyzing Data using Spreadsheets
5. Sorting of Data, using formulas.
6. Creating Charts
7. Creation of Presentations

SUGGUESTED READINGS:

1. P.K. Sinha ―Computer Fundaments‖ BPB Publications
2. R. S. Salaria ―Computer Fundamentals‖ Khanna Publishing House
3. Reema Thareja ―Fundamentals Of Computers‖ Oxford University Press

SEC II:

Stat.121 Elements of Statistics 2+1

LEARNING OBJECTIVES:

The primary objective of this course is:
 To introduce the basic tools of statistics.
 To provide a way of viewing and analysing the real-world problems.

LEARNING OUTCOMES:

This course will enable the students to:
 Explain the definition, scope, and limitations of statistics and to compute frequency
distributions and their graphical representations.
 Calculate measures of central tendency, dispersion, skewness, and kurtosis.
 Explain the definition and concept of probability and to find out correlation and fit
regression equations
 Describe elements of sampling, sampling distribution, and tests of significance
 Analyze one-way and two-way classified data using analysis of variance.

THEORY (30 Hours)

UNIT I (6 Hours)

Definition, scope and limitations of statistics; presentation and summarization of statistical data;
frequency distribution and its graphical representation; measures of central tendency, dispersion,
skewness and kurtosis.

UNIT II (6 Hours)
Definition and concept of probability; additive and multiplication law of probability (without
proof).
UNIT III (6 Hours)

Correlation: Types of correlation and identification through scatter diagram, computation of
correlation coefficient. Linear Regression: Fitting of regression equations; Y on X and X on Y;
properties of correlation and regression coefficients.

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